Matches in SemOpenAlex for { <https://semopenalex.org/work/W1489346067> ?p ?o ?g. }
- W1489346067 endingPage "6" @default.
- W1489346067 startingPage "1" @default.
- W1489346067 abstract "Despite the considerable research effort towards the analysis and understanding of the nature of turbo decoding, a clear identification of the underlying optimization problem the turbo decoder attempts to solve is still missing. In this paper, we link the turbo decoding algorithm to maximum likelihood (ML) sequence detection by demonstrating how the turbo decoder can be systematically derived starting from the ML sequence detection criterion. In particular, we show that a method to solve the ML sequence detection problem is to iteratively solve the corresponding critical point equations of an equivalent unconstrained estimation problem by means of fixed-point iterations. The turbo decoding algorithm is obtained by approximating the overall a posteriori probabilities, such that the fixed-point iteration becomes feasible and the optimum ML solution is still a solution of the corresponding approximate critical point equations." @default.
- W1489346067 created "2016-06-24" @default.
- W1489346067 creator A5006159814 @default.
- W1489346067 creator A5020992230 @default.
- W1489346067 date "2006-04-03" @default.
- W1489346067 modified "2023-09-28" @default.
- W1489346067 title "Turbo Decoding as an Approximative Iterative Solution to Maximum Likelihood Sequence Detection" @default.
- W1489346067 cites W1479887491 @default.
- W1489346067 cites W1562979145 @default.
- W1489346067 cites W1594874645 @default.
- W1489346067 cites W2037845944 @default.
- W1489346067 cites W2090963365 @default.
- W1489346067 cites W2101394529 @default.
- W1489346067 cites W2103226059 @default.
- W1489346067 cites W2116148133 @default.
- W1489346067 cites W2119411189 @default.
- W1489346067 cites W2121606987 @default.
- W1489346067 cites W2150859678 @default.
- W1489346067 cites W2160668024 @default.
- W1489346067 cites W2161001955 @default.
- W1489346067 cites W2169732368 @default.
- W1489346067 cites W2987657883 @default.
- W1489346067 hasPublicationYear "2006" @default.
- W1489346067 type Work @default.
- W1489346067 sameAs 1489346067 @default.
- W1489346067 citedByCount "2" @default.
- W1489346067 crossrefType "journal-article" @default.
- W1489346067 hasAuthorship W1489346067A5006159814 @default.
- W1489346067 hasAuthorship W1489346067A5020992230 @default.
- W1489346067 hasConcept C105795698 @default.
- W1489346067 hasConcept C111472728 @default.
- W1489346067 hasConcept C11413529 @default.
- W1489346067 hasConcept C114504821 @default.
- W1489346067 hasConcept C12232224 @default.
- W1489346067 hasConcept C126255220 @default.
- W1489346067 hasConcept C127413603 @default.
- W1489346067 hasConcept C138885662 @default.
- W1489346067 hasConcept C157125643 @default.
- W1489346067 hasConcept C159694833 @default.
- W1489346067 hasConcept C171146098 @default.
- W1489346067 hasConcept C2524010 @default.
- W1489346067 hasConcept C2776240298 @default.
- W1489346067 hasConcept C2778112365 @default.
- W1489346067 hasConcept C28719098 @default.
- W1489346067 hasConcept C33923547 @default.
- W1489346067 hasConcept C41008148 @default.
- W1489346067 hasConcept C49781872 @default.
- W1489346067 hasConcept C54355233 @default.
- W1489346067 hasConcept C57273362 @default.
- W1489346067 hasConcept C75553542 @default.
- W1489346067 hasConcept C78944582 @default.
- W1489346067 hasConcept C86803240 @default.
- W1489346067 hasConcept C9810830 @default.
- W1489346067 hasConceptScore W1489346067C105795698 @default.
- W1489346067 hasConceptScore W1489346067C111472728 @default.
- W1489346067 hasConceptScore W1489346067C11413529 @default.
- W1489346067 hasConceptScore W1489346067C114504821 @default.
- W1489346067 hasConceptScore W1489346067C12232224 @default.
- W1489346067 hasConceptScore W1489346067C126255220 @default.
- W1489346067 hasConceptScore W1489346067C127413603 @default.
- W1489346067 hasConceptScore W1489346067C138885662 @default.
- W1489346067 hasConceptScore W1489346067C157125643 @default.
- W1489346067 hasConceptScore W1489346067C159694833 @default.
- W1489346067 hasConceptScore W1489346067C171146098 @default.
- W1489346067 hasConceptScore W1489346067C2524010 @default.
- W1489346067 hasConceptScore W1489346067C2776240298 @default.
- W1489346067 hasConceptScore W1489346067C2778112365 @default.
- W1489346067 hasConceptScore W1489346067C28719098 @default.
- W1489346067 hasConceptScore W1489346067C33923547 @default.
- W1489346067 hasConceptScore W1489346067C41008148 @default.
- W1489346067 hasConceptScore W1489346067C49781872 @default.
- W1489346067 hasConceptScore W1489346067C54355233 @default.
- W1489346067 hasConceptScore W1489346067C57273362 @default.
- W1489346067 hasConceptScore W1489346067C75553542 @default.
- W1489346067 hasConceptScore W1489346067C78944582 @default.
- W1489346067 hasConceptScore W1489346067C86803240 @default.
- W1489346067 hasConceptScore W1489346067C9810830 @default.
- W1489346067 hasLocation W14893460671 @default.
- W1489346067 hasOpenAccess W1489346067 @default.
- W1489346067 hasPrimaryLocation W14893460671 @default.
- W1489346067 hasRelatedWork W1486952056 @default.
- W1489346067 hasRelatedWork W1909705141 @default.
- W1489346067 hasRelatedWork W2041746671 @default.
- W1489346067 hasRelatedWork W2054248512 @default.
- W1489346067 hasRelatedWork W2115911436 @default.
- W1489346067 hasRelatedWork W2119698074 @default.
- W1489346067 hasRelatedWork W2124188743 @default.
- W1489346067 hasRelatedWork W2126948529 @default.
- W1489346067 hasRelatedWork W2129341461 @default.
- W1489346067 hasRelatedWork W2129718898 @default.
- W1489346067 hasRelatedWork W2144851713 @default.
- W1489346067 hasRelatedWork W2145675047 @default.
- W1489346067 hasRelatedWork W2150279634 @default.
- W1489346067 hasRelatedWork W2892198099 @default.
- W1489346067 hasRelatedWork W2945851184 @default.
- W1489346067 hasRelatedWork W3098377107 @default.
- W1489346067 hasRelatedWork W350247428 @default.
- W1489346067 hasRelatedWork W94560337 @default.